EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data

EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data
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EmoSense:通过无线通道数据进行计算智能驱动的情绪感知

DOI:
10.1109/tetci.2019.2902438
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发表时间:
2020-06-01
影响因子:
5.3
通讯作者:
Ren, Fuji
Ren, Fuji
中科院分区:
计算机科学2区
文献类型:
--
作者:
Gu, Yu;Wang, Yantong;Ren, Fuji

文献摘要

被引文献

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情感被公认为是人类的一种独特的象征,它在我们的日常生活中起着至关重要的作用。现有的基于视觉或基于传感器的解决方案要么阻碍使用,要么依赖于专门的硬件,从而阻碍了它们的适用性。EmoSense是一种基于计算智能的无线情感传感系统。基本方法是通过数据挖掘从无线信道响应中探索情感的物理表达。EmoSense的设计与实现面临着从无线信道数据中提取物理表情和从相应的物理表情中恢复情感两大挑战。对于前者,我们提出了一个基于菲涅耳区的理论模型,描述了通道响应的物理表达指纹。对于后者,我们设计了一种高效的计算智能驱动机制,从相应的指纹中识别情感。我们在商用WiFi基础设施上设计了EmoSense原型,并将其与现实世界中基于传感器和基于视觉的主流方法进行了比较。超过3360个案例的数值研究证实,EmoSense在不同场景下的性能与基于视觉和基于传感器的竞争对手相当。EmoSense只利用了低成本和普遍的WiFi基础设施,因此,构成了一个诱人的情感感知解决方案。
Emotion is well recognized as a distinguished symbol of human beings, and it plays a crucial role in our daily lives. Existing vision-based or sensor-based solutions are either obstructive to use or rely on specialized hardware, hindering their applicability. This paper introduces EmoSense, a first-of-its-kind wireless emotion sensing system driven by computational intelligence. The basic methodology is to explore the physical expression of emotions from wireless channel response via data mining. The design and implementation of EmoSense faces two major challenges—extracting physical expression from wireless channel data and recovering emotion from the corresponding physical expression. For the former, we present a Fresnel zone-based theoretical model depicting the fingerprint of the physical expression on channel response. For the latter, we design an efficient computational intelligence driven mechanism to recognize emotion from the corresponding fingerprints. We prototyped EmoSense on the commodity WiFi infrastructure and compared it with mainstream sensor-based and vision-based approaches in the real-world scenario. The numerical study over 3360 cases confirms that EmoSense achieves a comparable performance to the vision-based and sensor-based rivals under different scenarios. EmoSense only leverages the low-cost and prevalent WiFi infrastructures and thus, constitutes a tempting solution for emotion sensing.